Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 1350 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 1 |
| Duplicate rows (%) | 0.1% |
| Total size in memory | 147.8 KiB |
| Average record size in memory | 112.1 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 5 |
| Dataset has 1 (0.1%) duplicate rows | Duplicates |
Overall Qual is highly correlated with Gr Liv Area and 7 other fields | High correlation |
Gr Liv Area is highly correlated with Overall Qual and 3 other fields | High correlation |
Garage Cars is highly correlated with Overall Qual and 6 other fields | High correlation |
Garage Area is highly correlated with Overall Qual and 4 other fields | High correlation |
Total Bsmt SF is highly correlated with 1st Flr SF and 1 other fields | High correlation |
1st Flr SF is highly correlated with Total Bsmt SF and 1 other fields | High correlation |
Full Bath is highly correlated with Overall Qual and 5 other fields | High correlation |
Year Built is highly correlated with Overall Qual and 6 other fields | High correlation |
Year Remod/Add is highly correlated with Overall Qual and 3 other fields | High correlation |
Garage Yr Blt is highly correlated with Overall Qual and 6 other fields | High correlation |
target is highly correlated with Overall Qual and 9 other fields | High correlation |
Overall Qual is highly correlated with Gr Liv Area and 8 other fields | High correlation |
Gr Liv Area is highly correlated with Overall Qual and 4 other fields | High correlation |
Garage Cars is highly correlated with Overall Qual and 6 other fields | High correlation |
Garage Area is highly correlated with Overall Qual and 3 other fields | High correlation |
Total Bsmt SF is highly correlated with Overall Qual and 2 other fields | High correlation |
1st Flr SF is highly correlated with Gr Liv Area and 2 other fields | High correlation |
Full Bath is highly correlated with Overall Qual and 4 other fields | High correlation |
Year Built is highly correlated with Overall Qual and 5 other fields | High correlation |
Year Remod/Add is highly correlated with Overall Qual and 3 other fields | High correlation |
Garage Yr Blt is highly correlated with Overall Qual and 5 other fields | High correlation |
target is highly correlated with Overall Qual and 9 other fields | High correlation |
Overall Qual is highly correlated with Garage Cars and 3 other fields | High correlation |
Gr Liv Area is highly correlated with Full Bath and 1 other fields | High correlation |
Garage Cars is highly correlated with Overall Qual and 4 other fields | High correlation |
Garage Area is highly correlated with Garage Cars | High correlation |
Total Bsmt SF is highly correlated with 1st Flr SF | High correlation |
1st Flr SF is highly correlated with Total Bsmt SF | High correlation |
Full Bath is highly correlated with Overall Qual and 3 other fields | High correlation |
Year Built is highly correlated with Overall Qual and 2 other fields | High correlation |
Year Remod/Add is highly correlated with Year Built and 1 other fields | High correlation |
Garage Yr Blt is highly correlated with Garage Cars and 2 other fields | High correlation |
target is highly correlated with Overall Qual and 3 other fields | High correlation |
Exter Qual is highly correlated with Kitchen Qual | High correlation |
Kitchen Qual is highly correlated with Exter Qual | High correlation |
Overall Qual is highly correlated with Gr Liv Area and 9 other fields | High correlation |
Gr Liv Area is highly correlated with Overall Qual and 4 other fields | High correlation |
Exter Qual is highly correlated with Overall Qual and 5 other fields | High correlation |
Garage Cars is highly correlated with Overall Qual and 8 other fields | High correlation |
Garage Area is highly correlated with Overall Qual and 8 other fields | High correlation |
Kitchen Qual is highly correlated with Overall Qual and 4 other fields | High correlation |
Total Bsmt SF is highly correlated with Gr Liv Area and 5 other fields | High correlation |
1st Flr SF is highly correlated with Gr Liv Area and 4 other fields | High correlation |
Bsmt Qual is highly correlated with Overall Qual and 9 other fields | High correlation |
Full Bath is highly correlated with Overall Qual and 8 other fields | High correlation |
Year Built is highly correlated with Overall Qual and 9 other fields | High correlation |
Year Remod/Add is highly correlated with Exter Qual and 6 other fields | High correlation |
Garage Yr Blt is highly correlated with Overall Qual and 7 other fields | High correlation |
target is highly correlated with Overall Qual and 12 other fields | High correlation |
Reproduction
| Analysis started | 2022-02-03 08:30:43.668184 |
|---|---|
| Analysis finished | 2022-02-03 08:31:10.901057 |
| Duration | 27.23 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.208888889 |
| Minimum | 2 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 5 |
| median | 6 |
| Q3 | 7 |
| 95-th percentile | 9 |
| Maximum | 10 |
| Range | 8 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.338015008 |
|---|---|
| Coefficient of variation (CV) | 0.2154999118 |
| Kurtosis | -0.07763476292 |
| Mean | 6.208888889 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.345323694 |
| Sum | 8382 |
| Variance | 1.790284161 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 5 | 379 | |
| 6 | 351 | |
| 7 | 307 | |
| 8 | 156 | |
| 4 | 75 | 5.6% |
| 9 | 56 | 4.1% |
| 10 | 15 | 1.1% |
| 3 | 8 | 0.6% |
| 2 | 3 | 0.2% |
| Value | Count | Frequency (%) |
| 2 | 3 | 0.2% |
| 3 | 8 | 0.6% |
| 4 | 75 | 5.6% |
| 5 | 379 | |
| 6 | 351 | |
| 7 | 307 | |
| 8 | 156 | |
| 9 | 56 | 4.1% |
| 10 | 15 | 1.1% |
| Value | Count | Frequency (%) |
| 10 | 15 | 1.1% |
| 9 | 56 | 4.1% |
| 8 | 156 | |
| 7 | 307 | |
| 6 | 351 | |
| 5 | 379 | |
| 4 | 75 | 5.6% |
| 3 | 8 | 0.6% |
| 2 | 3 | 0.2% |
| Distinct | 813 |
|---|---|
| Distinct (%) | 60.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1513.542222 |
| Minimum | 480 |
|---|---|
| Maximum | 4476 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.7 KiB |
Quantile statistics
| Minimum | 480 |
|---|---|
| 5-th percentile | 869.8 |
| Q1 | 1144 |
| median | 1445.5 |
| Q3 | 1774.5 |
| 95-th percentile | 2498.1 |
| Maximum | 4476 |
| Range | 3996 |
| Interquartile range (IQR) | 630.5 |
Descriptive statistics
| Standard deviation | 487.5232386 |
|---|---|
| Coefficient of variation (CV) | 0.3221074585 |
| Kurtosis | 1.516308644 |
| Mean | 1513.542222 |
| Median Absolute Deviation (MAD) | 313.5 |
| Skewness | 0.9803084672 |
| Sum | 2043282 |
| Variance | 237678.9081 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 864 | 19 | 1.4% |
| 1040 | 12 | 0.9% |
| 1092 | 12 | 0.9% |
| 894 | 11 | 0.8% |
| 1200 | 9 | 0.7% |
| 1456 | 9 | 0.7% |
| 1224 | 7 | 0.5% |
| 960 | 7 | 0.5% |
| 848 | 7 | 0.5% |
| 988 | 7 | 0.5% |
| Other values (803) | 1250 |
| Value | Count | Frequency (%) |
| 480 | 1 | |
| 520 | 1 | |
| 540 | 1 | |
| 572 | 1 | |
| 630 | 2 | |
| 672 | 2 | |
| 694 | 1 | |
| 747 | 1 | |
| 764 | 1 | |
| 765 | 1 |
| Value | Count | Frequency (%) |
| 4476 | 1 | |
| 3627 | 1 | |
| 3608 | 1 | |
| 3194 | 1 | |
| 3140 | 1 | |
| 3082 | 1 | |
| 3005 | 1 | |
| 2978 | 1 | |
| 2956 | 1 | |
| 2945 | 1 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.7 KiB |
| TA | |
|---|---|
| Gd | |
| Ex | 49 |
| Fa | 8 |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Ex |
|---|---|
| 2nd row | Gd |
| 3rd row | TA |
| 4th row | TA |
| 5th row | Gd |
Common Values
| Value | Count | Frequency (%) |
| TA | 808 | |
| Gd | 485 | |
| Ex | 49 | 3.6% |
| Fa | 8 | 0.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ta | 808 | |
| gd | 485 | |
| ex | 49 | 3.6% |
| fa | 8 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.7 KiB |
| 2 | |
|---|---|
| 1 | |
| 3 | |
| 4 | 11 |
| 5 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 2 |
| 3rd row | 1 |
| 4th row | 2 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 794 | |
| 1 | 372 | |
| 3 | 172 | 12.7% |
| 4 | 11 | 0.8% |
| 5 | 1 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 794 | |
| 1 | 372 | |
| 3 | 172 | 12.7% |
| 4 | 11 | 0.8% |
| 5 | 1 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 454 |
|---|---|
| Distinct (%) | 33.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 502.0148148 |
| Minimum | 100 |
|---|---|
| Maximum | 1488 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.7 KiB |
Quantile statistics
| Minimum | 100 |
|---|---|
| 5-th percentile | 240 |
| Q1 | 368 |
| median | 484 |
| Q3 | 588 |
| 95-th percentile | 865.55 |
| Maximum | 1488 |
| Range | 1388 |
| Interquartile range (IQR) | 220 |
Descriptive statistics
| Standard deviation | 191.3899564 |
|---|---|
| Coefficient of variation (CV) | 0.3812436422 |
| Kurtosis | 1.522404855 |
| Mean | 502.0148148 |
| Median Absolute Deviation (MAD) | 110.5 |
| Skewness | 0.8864540664 |
| Sum | 677720 |
| Variance | 36630.11542 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 440 | 47 | 3.5% |
| 576 | 42 | 3.1% |
| 240 | 37 | 2.7% |
| 480 | 36 | 2.7% |
| 484 | 35 | 2.6% |
| 528 | 32 | 2.4% |
| 400 | 28 | 2.1% |
| 264 | 27 | 2.0% |
| 288 | 24 | 1.8% |
| 308 | 19 | 1.4% |
| Other values (444) | 1023 |
| Value | Count | Frequency (%) |
| 100 | 1 | 0.1% |
| 160 | 1 | 0.1% |
| 162 | 1 | 0.1% |
| 164 | 1 | 0.1% |
| 180 | 9 | |
| 184 | 1 | 0.1% |
| 186 | 1 | 0.1% |
| 195 | 2 | 0.1% |
| 200 | 6 | |
| 205 | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 1488 | 1 | |
| 1390 | 1 | |
| 1356 | 1 | |
| 1348 | 1 | |
| 1314 | 1 | |
| 1231 | 1 | |
| 1220 | 1 | |
| 1184 | 1 | |
| 1138 | 1 | |
| 1110 | 1 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.7 KiB |
| TA | |
|---|---|
| Gd | |
| Ex | |
| Fa | 23 |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Ex |
|---|---|
| 2nd row | Gd |
| 3rd row | TA |
| 4th row | Gd |
| 5th row | Gd |
Common Values
| Value | Count | Frequency (%) |
| TA | 660 | |
| Gd | 560 | |
| Ex | 107 | 7.9% |
| Fa | 23 | 1.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ta | 660 | |
| gd | 560 | |
| ex | 107 | 7.9% |
| fa | 23 | 1.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 709 |
|---|---|
| Distinct (%) | 52.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1082.644444 |
| Minimum | 105 |
|---|---|
| Maximum | 2660 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.7 KiB |
Quantile statistics
| Minimum | 105 |
|---|---|
| 5-th percentile | 548.35 |
| Q1 | 816 |
| median | 1009 |
| Q3 | 1309.5 |
| 95-th percentile | 1807.7 |
| Maximum | 2660 |
| Range | 2555 |
| Interquartile range (IQR) | 493.5 |
Descriptive statistics
| Standard deviation | 384.0677133 |
|---|---|
| Coefficient of variation (CV) | 0.3547496274 |
| Kurtosis | 0.60547131 |
| Mean | 1082.644444 |
| Median Absolute Deviation (MAD) | 229.5 |
| Skewness | 0.7442916706 |
| Sum | 1461570 |
| Variance | 147508.0084 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 864 | 37 | 2.7% |
| 768 | 15 | 1.1% |
| 1040 | 15 | 1.1% |
| 672 | 14 | 1.0% |
| 1008 | 13 | 1.0% |
| 912 | 11 | 0.8% |
| 894 | 11 | 0.8% |
| 720 | 10 | 0.7% |
| 816 | 10 | 0.7% |
| 960 | 9 | 0.7% |
| Other values (699) | 1205 |
| Value | Count | Frequency (%) |
| 105 | 1 | 0.1% |
| 160 | 1 | 0.1% |
| 190 | 1 | 0.1% |
| 216 | 1 | 0.1% |
| 240 | 1 | 0.1% |
| 264 | 1 | 0.1% |
| 297 | 1 | 0.1% |
| 346 | 1 | 0.1% |
| 356 | 1 | 0.1% |
| 384 | 9 |
| Value | Count | Frequency (%) |
| 2660 | 1 | |
| 2535 | 1 | |
| 2524 | 1 | |
| 2461 | 1 | |
| 2458 | 1 | |
| 2452 | 1 | |
| 2396 | 1 | |
| 2392 | 1 | |
| 2271 | 1 | |
| 2220 | 1 |
| Distinct | 736 |
|---|---|
| Distinct (%) | 54.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1167.474074 |
| Minimum | 480 |
|---|---|
| Maximum | 2898 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.7 KiB |
Quantile statistics
| Minimum | 480 |
|---|---|
| 5-th percentile | 672 |
| Q1 | 886.25 |
| median | 1092.5 |
| Q3 | 1396.5 |
| 95-th percentile | 1846.2 |
| Maximum | 2898 |
| Range | 2418 |
| Interquartile range (IQR) | 510.25 |
Descriptive statistics
| Standard deviation | 375.061407 |
|---|---|
| Coefficient of variation (CV) | 0.3212588744 |
| Kurtosis | 0.7450582024 |
| Mean | 1167.474074 |
| Median Absolute Deviation (MAD) | 236.5 |
| Skewness | 0.8317876671 |
| Sum | 1576090 |
| Variance | 140671.059 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 864 | 20 | 1.5% |
| 1040 | 14 | 1.0% |
| 894 | 11 | 0.8% |
| 960 | 11 | 0.8% |
| 848 | 9 | 0.7% |
| 990 | 8 | 0.6% |
| 832 | 8 | 0.6% |
| 630 | 7 | 0.5% |
| 912 | 7 | 0.5% |
| 672 | 7 | 0.5% |
| Other values (726) | 1248 |
| Value | Count | Frequency (%) |
| 480 | 1 | 0.1% |
| 483 | 6 | |
| 502 | 1 | 0.1% |
| 516 | 1 | 0.1% |
| 520 | 4 | |
| 525 | 4 | |
| 526 | 2 | 0.1% |
| 530 | 3 | |
| 536 | 1 | 0.1% |
| 540 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 2898 | 1 | |
| 2524 | 1 | |
| 2522 | 1 | |
| 2515 | 1 | |
| 2497 | 1 | |
| 2490 | 1 | |
| 2470 | 1 | |
| 2452 | 1 | |
| 2422 | 1 | |
| 2411 | 1 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.7 KiB |
| TA | |
|---|---|
| Gd | |
| Ex | |
| Fa | 28 |
| Po | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | Ex |
|---|---|
| 2nd row | Ex |
| 3rd row | TA |
| 4th row | TA |
| 5th row | Gd |
Common Values
| Value | Count | Frequency (%) |
| TA | 605 | |
| Gd | 582 | |
| Ex | 134 | 9.9% |
| Fa | 28 | 2.1% |
| Po | 1 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ta | 605 | |
| gd | 582 | |
| ex | 134 | 9.9% |
| fa | 28 | 2.1% |
| po | 1 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.7 KiB |
| 2 | |
|---|---|
| 1 | |
| 3 | 27 |
| 0 | 6 |
| 4 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 703 | |
| 1 | 612 | |
| 3 | 27 | 2.0% |
| 0 | 6 | 0.4% |
| 4 | 2 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 703 | |
| 1 | 612 | |
| 3 | 27 | 2.0% |
| 0 | 6 | 0.4% |
| 4 | 2 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 105 |
|---|---|
| Distinct (%) | 7.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1972.987407 |
| Minimum | 1880 |
|---|---|
| Maximum | 2010 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.7 KiB |
Quantile statistics
| Minimum | 1880 |
|---|---|
| 5-th percentile | 1920 |
| Q1 | 1955 |
| median | 1976 |
| Q3 | 2002 |
| 95-th percentile | 2007 |
| Maximum | 2010 |
| Range | 130 |
| Interquartile range (IQR) | 47 |
Descriptive statistics
| Standard deviation | 29.30725737 |
|---|---|
| Coefficient of variation (CV) | 0.01485425465 |
| Kurtosis | -0.3762728739 |
| Mean | 1972.987407 |
| Median Absolute Deviation (MAD) | 23 |
| Skewness | -0.6480337442 |
| Sum | 2663533 |
| Variance | 858.9153343 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2005 | 71 | 5.3% |
| 2006 | 63 | 4.7% |
| 2003 | 48 | 3.6% |
| 2007 | 48 | 3.6% |
| 2004 | 48 | 3.6% |
| 1977 | 33 | 2.4% |
| 1976 | 27 | 2.0% |
| 2008 | 25 | 1.9% |
| 1978 | 24 | 1.8% |
| 1968 | 24 | 1.8% |
| Other values (95) | 939 |
| Value | Count | Frequency (%) |
| 1880 | 3 | 0.2% |
| 1882 | 1 | 0.1% |
| 1885 | 2 | 0.1% |
| 1890 | 3 | 0.2% |
| 1892 | 1 | 0.1% |
| 1893 | 1 | 0.1% |
| 1900 | 10 | |
| 1908 | 1 | 0.1% |
| 1910 | 17 | |
| 1912 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 2010 | 1 | 0.1% |
| 2009 | 14 | 1.0% |
| 2008 | 25 | 1.9% |
| 2007 | 48 | |
| 2006 | 63 | |
| 2005 | 71 | |
| 2004 | 48 | |
| 2003 | 48 | |
| 2002 | 22 | 1.6% |
| 2001 | 19 | 1.4% |
Year Remod/Add
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 61 |
|---|---|
| Distinct (%) | 4.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1985.099259 |
| Minimum | 1950 |
|---|---|
| Maximum | 2010 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.7 KiB |
Quantile statistics
| Minimum | 1950 |
|---|---|
| 5-th percentile | 1950 |
| Q1 | 1968 |
| median | 1993 |
| Q3 | 2004 |
| 95-th percentile | 2007 |
| Maximum | 2010 |
| Range | 60 |
| Interquartile range (IQR) | 36 |
Descriptive statistics
| Standard deviation | 20.15324351 |
|---|---|
| Coefficient of variation (CV) | 0.01015225985 |
| Kurtosis | -1.236075056 |
| Mean | 1985.099259 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | -0.5010053957 |
| Sum | 2679884 |
| Variance | 406.1532241 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1950 | 134 | 9.9% |
| 2006 | 93 | 6.9% |
| 2005 | 68 | 5.0% |
| 2007 | 67 | 5.0% |
| 2004 | 58 | 4.3% |
| 2003 | 52 | 3.9% |
| 2000 | 43 | 3.2% |
| 2008 | 38 | 2.8% |
| 2002 | 37 | 2.7% |
| 1998 | 35 | 2.6% |
| Other values (51) | 725 |
| Value | Count | Frequency (%) |
| 1950 | 134 | |
| 1951 | 4 | 0.3% |
| 1952 | 9 | 0.7% |
| 1953 | 6 | 0.4% |
| 1954 | 14 | 1.0% |
| 1955 | 12 | 0.9% |
| 1956 | 12 | 0.9% |
| 1957 | 9 | 0.7% |
| 1958 | 17 | 1.3% |
| 1959 | 9 | 0.7% |
| Value | Count | Frequency (%) |
| 2010 | 5 | 0.4% |
| 2009 | 17 | 1.3% |
| 2008 | 38 | |
| 2007 | 67 | |
| 2006 | 93 | |
| 2005 | 68 | |
| 2004 | 58 | |
| 2003 | 52 | |
| 2002 | 37 | 2.7% |
| 2001 | 23 | 1.7% |
| Distinct | 97 |
|---|---|
| Distinct (%) | 7.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1978.471852 |
| Minimum | 1900 |
|---|---|
| Maximum | 2207 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.7 KiB |
Quantile statistics
| Minimum | 1900 |
|---|---|
| 5-th percentile | 1930 |
| Q1 | 1961 |
| median | 1978.5 |
| Q3 | 2002 |
| 95-th percentile | 2007 |
| Maximum | 2207 |
| Range | 307 |
| Interquartile range (IQR) | 41 |
Descriptive statistics
| Standard deviation | 25.37727821 |
|---|---|
| Coefficient of variation (CV) | 0.01282670673 |
| Kurtosis | 4.149795343 |
| Mean | 1978.471852 |
| Median Absolute Deviation (MAD) | 20.5 |
| Skewness | -0.0419405896 |
| Sum | 2670937 |
| Variance | 644.0062493 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2005 | 70 | 5.2% |
| 2006 | 53 | 3.9% |
| 2007 | 51 | 3.8% |
| 2004 | 50 | 3.7% |
| 2003 | 49 | 3.6% |
| 1977 | 40 | 3.0% |
| 2008 | 32 | 2.4% |
| 1968 | 29 | 2.1% |
| 1993 | 28 | 2.1% |
| 2000 | 27 | 2.0% |
| Other values (87) | 921 |
| Value | Count | Frequency (%) |
| 1900 | 2 | 0.1% |
| 1910 | 3 | 0.2% |
| 1914 | 2 | 0.1% |
| 1915 | 2 | 0.1% |
| 1916 | 2 | 0.1% |
| 1918 | 1 | 0.1% |
| 1919 | 1 | 0.1% |
| 1920 | 14 | |
| 1921 | 2 | 0.1% |
| 1922 | 6 |
| Value | Count | Frequency (%) |
| 2207 | 1 | 0.1% |
| 2010 | 1 | 0.1% |
| 2009 | 17 | 1.3% |
| 2008 | 32 | |
| 2007 | 51 | |
| 2006 | 53 | |
| 2005 | 70 | |
| 2004 | 50 | |
| 2003 | 49 | |
| 2002 | 24 | 1.8% |
| Distinct | 619 |
|---|---|
| Distinct (%) | 45.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 186406.3126 |
| Minimum | 12789 |
|---|---|
| Maximum | 745000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.7 KiB |
Quantile statistics
| Minimum | 12789 |
|---|---|
| 5-th percentile | 102450 |
| Q1 | 135000 |
| median | 165375 |
| Q3 | 217875 |
| 95-th percentile | 339381.45 |
| Maximum | 745000 |
| Range | 732211 |
| Interquartile range (IQR) | 82875 |
Descriptive statistics
| Standard deviation | 78435.42476 |
|---|---|
| Coefficient of variation (CV) | 0.4207766554 |
| Kurtosis | 4.939592831 |
| Mean | 186406.3126 |
| Median Absolute Deviation (MAD) | 37750 |
| Skewness | 1.71758567 |
| Sum | 251648522 |
| Variance | 6152115857 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 155000 | 15 | 1.1% |
| 140000 | 14 | 1.0% |
| 145000 | 13 | 1.0% |
| 135000 | 12 | 0.9% |
| 170000 | 12 | 0.9% |
| 144000 | 11 | 0.8% |
| 143000 | 11 | 0.8% |
| 105000 | 10 | 0.7% |
| 165000 | 10 | 0.7% |
| 110000 | 10 | 0.7% |
| Other values (609) | 1232 |
| Value | Count | Frequency (%) |
| 12789 | 1 | |
| 35311 | 1 | |
| 50000 | 1 | |
| 55993 | 1 | |
| 58500 | 1 | |
| 63000 | 1 | |
| 64000 | 2 | |
| 67000 | 1 | |
| 68400 | 1 | |
| 68500 | 1 |
| Value | Count | Frequency (%) |
| 745000 | 1 | |
| 625000 | 1 | |
| 615000 | 1 | |
| 591587 | 1 | |
| 556581 | 1 | |
| 535000 | 1 | |
| 485000 | 1 | |
| 475000 | 2 | |
| 470000 | 1 | |
| 468000 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Overall Qual | Gr Liv Area | Exter Qual | Garage Cars | Garage Area | Kitchen Qual | Total Bsmt SF | 1st Flr SF | Bsmt Qual | Full Bath | Year Built | Year Remod/Add | Garage Yr Blt | target | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 10 | 2392 | Ex | 3 | 968 | Ex | 2392 | 2392 | Ex | 2 | 2003 | 2003 | 2003 | 386250 |
| 1 | 7 | 1352 | Gd | 2 | 466 | Gd | 1352 | 1352 | Ex | 2 | 2006 | 2007 | 2006 | 194000 |
| 2 | 5 | 900 | TA | 1 | 288 | TA | 864 | 900 | TA | 1 | 1967 | 1967 | 1967 | 123000 |
| 3 | 5 | 1174 | TA | 2 | 576 | Gd | 680 | 680 | TA | 1 | 1900 | 2006 | 2000 | 135000 |
| 4 | 7 | 1958 | Gd | 3 | 936 | Gd | 1026 | 1026 | Gd | 2 | 2005 | 2005 | 2005 | 250000 |
| 5 | 8 | 1968 | Gd | 3 | 680 | Ex | 774 | 774 | Ex | 2 | 2009 | 2010 | 2009 | 269500 |
| 6 | 6 | 1478 | TA | 2 | 442 | TA | 1478 | 1478 | TA | 1 | 1957 | 1957 | 1957 | 156500 |
| 7 | 8 | 2524 | Gd | 2 | 542 | Gd | 2524 | 2524 | Gd | 2 | 1981 | 1981 | 1981 | 278000 |
| 8 | 8 | 2649 | Gd | 3 | 746 | Gd | 1479 | 1515 | Ex | 2 | 2001 | 2002 | 2001 | 421250 |
| 9 | 8 | 1440 | Gd | 2 | 467 | Gd | 1432 | 1440 | Ex | 2 | 2003 | 2003 | 2003 | 232500 |
Last rows
| Overall Qual | Gr Liv Area | Exter Qual | Garage Cars | Garage Area | Kitchen Qual | Total Bsmt SF | 1st Flr SF | Bsmt Qual | Full Bath | Year Built | Year Remod/Add | Garage Yr Blt | target | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1340 | 5 | 925 | TA | 2 | 484 | TA | 925 | 925 | TA | 1 | 1963 | 1963 | 1990 | 133500 |
| 1341 | 4 | 572 | TA | 1 | 200 | TA | 572 | 572 | TA | 1 | 1925 | 1950 | 1940 | 75000 |
| 1342 | 6 | 2614 | TA | 2 | 624 | TA | 1522 | 1548 | TA | 2 | 1974 | 1997 | 1974 | 240000 |
| 1343 | 5 | 960 | TA | 1 | 392 | Fa | 960 | 960 | TA | 1 | 1959 | 2000 | 1959 | 131750 |
| 1344 | 6 | 865 | TA | 1 | 216 | TA | 660 | 740 | TA | 1 | 1920 | 1995 | 1920 | 108500 |
| 1345 | 6 | 1756 | Gd | 2 | 422 | TA | 872 | 888 | Ex | 2 | 1996 | 1997 | 1996 | 204000 |
| 1346 | 9 | 2748 | Gd | 3 | 850 | Ex | 1850 | 1850 | Ex | 2 | 2006 | 2006 | 2006 | 390000 |
| 1347 | 5 | 1214 | TA | 1 | 318 | TA | 1214 | 1214 | TA | 2 | 1967 | 1967 | 1967 | 143000 |
| 1348 | 5 | 894 | TA | 2 | 440 | TA | 864 | 894 | Gd | 1 | 1974 | 1974 | 1974 | 131000 |
| 1349 | 5 | 907 | TA | 1 | 343 | TA | 907 | 907 | Gd | 1 | 1978 | 1978 | 1978 | 140000 |
Most frequently occurring
| Overall Qual | Gr Liv Area | Exter Qual | Garage Cars | Garage Area | Kitchen Qual | Total Bsmt SF | 1st Flr SF | Bsmt Qual | Full Bath | Year Built | Year Remod/Add | Garage Yr Blt | target | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7 | 2787 | TA | 4 | 820 | TA | 1168 | 1168 | Ex | 4 | 2000 | 2000 | 2000 | 269500 | 2 |